DocumentCode :
629606
Title :
Exploring the Alloy operational semantics for case management process modeling
Author :
Rychkova, Irina
Author_Institution :
Centre de Rech. en Inf., Univ. Paris 1 Pantheon-Sorbonne, Paris, France
fYear :
2013
fDate :
29-31 May 2013
Firstpage :
1
Lastpage :
12
Abstract :
Efficient case management in industry is hampered by attempts to deal with case management process the same way as with regular business process. Development of the specific approaches for case management process modeling and analysis is therefore an important endeavor that can improve the case management practice. In this work, we provide a mathematical model and a comprehensible formalism for reasoning about the meaning - the semantics - of case management process. We represent case management process as a finite state machine (FSM) and express its operational semantics in the Alloy specification language. The Alloy Analyzer tool allows us to define, simulate and validate a case management process model while efficiently managing its complexity. We illustrate our findings on the example of Mortgage Approval process.
Keywords :
business data processing; finite state machines; mortgage processing; programming language semantics; specification languages; Alloy Analyzer tool; Alloy operational semantics; Alloy specification language; FSM management process; business process; case management process analysis; case management process model simulation; case management process model validation; case management process modeling; comprehensible reasoning formalism; finite state machine management process; mathematical model; mortgage approval process; Analytical models; Business; Employment; Loans and mortgages; Metals; Semantics; Unified modeling language; Alloy; business process modeling; case management; finite state machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Challenges in Information Science (RCIS), 2013 IEEE Seventh International Conference on
Conference_Location :
Paris
ISSN :
2151-1349
Print_ISBN :
978-1-4673-2912-5
Type :
conf
DOI :
10.1109/RCIS.2013.6577702
Filename :
6577702
Link To Document :
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